Job Summary

GA-CCRi maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities, including THRESHER and DRAGONSPELL, that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. Our rapidly growing suite of federal software solutions are used by thousands of intelligence analysts and military personnel around the globe to counter new and emerging threats to national security.

GA-CCRi is looking for experienced Senior Tracking Engineers to revolutionize data fusion for air, maritime, and ground tracking. Harness your skills in algorithms, mathematics, and software engineering to architect innovative data collection, processing, analysis, and visualization solutions. Develop advanced probabilistic tracking solutions to empower real-time situational awareness. Join our growing team and shape the future of tracking and intelligence integration.

DUTIES AND RESPONSIBILITIES:

• Lead the development and deployment of tracking systems, ensuring adherence to software compliance standards.
• Architect robust tracking systems incorporating advanced state estimation techniques (e.g. Kalman/IMM filters).
• Leverage advanced data fusion techniques to accurately track objects in dynamic environments.
• Design and implement scalable architectures for real-time/batch data processing.
• Manage core tracking strategy and multi-quarter roadmap.
• Mentor tracking engineers on advanced tracking methodologies and best practices.
• Perform in-depth geospatial analysis to uncover patterns and trends.
• Serve as a liaison between technical and non-technical stakeholders, effectively communicating complex technical concepts and requirements.
• Collaborate with domain experts, users, development teams, and management to prioritize features.
• Document technical concepts, system architectures, and implementation details in a clear and concise manner for both technical and non-technical audiences.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.


Job Qualifications:

• Typically requires a bachelors degree in computer science, information systems or a related discipline and nine or more years of professional software quality analyst experience. Equivalent professional quality analyst experience may be substituted in lieu of education. Must have a detailed understanding of software quality analysis concepts, theory, and operations.
• 3-5 years experience with Integration and Testing of production systems
• Familiar with scripting/programming languages including Bash, Python, Java, and JavaScript
• Experience with integration testing methodologies and techniques, including testing of interfaces, data exchange, and system interactions.
• Experience in developing scripts or utilities for monitoring, logging, and performance profiling of integrated systems
• Experience with software development life cycles and best practices
• Experience with version control systems (e.g., Git) and agile development methodologies
• Familiar with containers and basic orchestration (Docker, Docker-Compose and similar)
• Excellent communication and documentation skills, with the ability to articulate technical concepts and present findings to stakeholders.
• Ability to develop solutions to a variety of routine and non-routine problems of moderate scope and complexity

DESIRED SKILLS AND QUALIFICATIONS:

• Experience with Computer Vision systems and intelligence collection.
• CI/CD pipelines and tooling (Gitlab CI/CD, ArgoCD, CircleCI, Jenkins).
• Experience with sensor technologies and data acquisition systems used in tracking applications, such as radar, lidar, GPS, or cameras.
• Deployment technologies such as: Docker, Kubernetes, Knative, Helm, Rancher.
• Knowledge of cloud computing platforms and services, such as Amazon Web Services (AWS) or Microsoft Azure.
• Interested in maintaining and adapting existing codebases.
• Experience with data fusion and data engineering tools.
• Familiarity with Intelligence Community and DoD mission sets.
• CompTIA Security+ certification or willingness to get certified.

Salary:$105,890 - $189,545